The more companies become digital and global, the more finance organizations need to step up their game. It’s just not enough to report numbers, pay the bills, and secure steady cash flow. They must also deliver self-explaining, reliable financial information that provides the full story of how the business is performing in real time. But all too often, many financial teams struggle with isolated business systems full of inconsistent—and sometimes conflicting—information.
Just shy of 60 years old, machine learning has never looked so good. Exponential data growth, advanced algorithms, and powerful computer processing are enabling the technology to fulfill its ultimate destiny: Identifying profitable opportunities and avoiding unknown risks by evaluating massive volumes of complex data and delivering accurate results in real time.
However, during the Americas’ SAP Users’ Group (ASUG) webcast, “Guide to the Machine Learning Galaxy: How Your ERP Knowledge Enables Value-Driven Intelligent Processes,” Darwin Deano,..